Managed device and self-optimization method and system
Abstract
A managed unit device, a self-optimization method and system are provided. The method includes: executing, by a managed unit, a self-optimization according to a self-optimization trigger rule. The self-optimization trigger rule is created by a managing unit according to a self-optimization capability supported by the managed unit. The technical solution avoids completing the self-optimization in a mode in which a user sends a corresponding configuration modification command, thereby greatly reducing the complexity of a self-optimization process the manual processing time of the self-optimization.
Claims
exact text as granted — not AI-modified1 . A self-optimization method, comprising:
executing, by a managed unit, a self-optimization according to a self-optimization trigger rule, wherein the self-optimization trigger rule is created by a managing unit according to a self-optimization capability supported by the managed unit.
2 . The self-optimization method according to claim 1 , wherein the self-optimization trigger rule comprises any one of or any combination of a self-optimization type, a self-optimization monitoring cycle, a self-optimization objective, a self-optimization trigger condition, and whether user confirmation is required before execution of the optimization.
3 . The self-optimization method according to claim 1 , wherein the self-optimization capability supported by the managed unit comprises a self-optimization type, a supported self-optimization trigger condition, a supported self-optimization objective, and a supported self-optimization monitoring cycle.
4 . The self-optimization method according to claim 2 or 3 , wherein the self-optimization trigger condition comprises performance measurement information of the self-optimization.
5 . The self-optimization method according to claim 3 , further comprising: acquiring, by the managing unit, self-optimization capability of the managed unit.
6 . The self-optimization method according to claim 5 , wherein the acquiring, by the managing unit, the self-optimization capability of the managed unit further comprises: querying, by the managing unit, information of the capability supported by the managed unit according to information of the managed unit.
7 . The self-optimization method according to claim 3 , wherein the creating, by the managing unit, the self-optimization trigger rule according to the self-optimization capability supported by the managed unit comprises: creating, by the managing unit, the self-optimization trigger rule, by using any one of or any combination of identifier information of the trigger rule, information of the managed unit, a self-optimization type, a self-optimization monitoring cycle, a self-optimization objective, and a self-optimization trigger condition, and acquiring a result of creation of the trigger rule.
8 . The self-optimization method according to claim 7 , wherein the result of the creation of the trigger rule comprises: success, failure, and information indicating that a created rule overlaps an existing rule.
9 . The self-optimization method according to claim 3 , wherein the supported self-optimization objective comprises one self-optimization objective, or comprises multiple self-optimization objectives and relationships of the multiple self-optimization objectives.
10 . The self-optimization method according to claim 9 , wherein the relationships of the multiple self-optimization objectives comprise: a priority relationship, a weight relationship, an arithmetic operation relationship, and a logic operation relationship.
11 . The self-optimization method according to claim 1 , further comprising:
querying, by the managing unit, a currently existing self-optimization trigger rule of the managed unit.
12 . The self-optimization method according to claim 11 , wherein the querying, by the managing unit, the currently existing self-optimization trigger rule of the managed unit comprises: querying, by the managing unit, a self-optimization trigger rule list according to identifier information of the trigger rule and/or information of the managed unit.
13 . The self-optimization method according to claim 12 , wherein when the identifier information of the trigger rule and the information of the managed unit are default, the managing unit queries all trigger rules of all managed units.
14 . The self-optimization method according to claim 1 , further comprising:
modifying, by the managing unit, an already created self-optimization trigger rule.
15 . The self-optimization method according to claim 14 , wherein the modifying, by the managing unit, the already created self-optimization trigger rule comprises: modifying, by the managing unit, the already created self-optimization trigger rule according to any one of or any combination of identifier information of the trigger rule, information of the managed unit, a self-optimization type, a self-optimization monitoring cycle, a self-optimization trigger condition, a self-optimization objective, and whether user confirmation is required before execution of the optimization, and acquiring a result of modification of the trigger rule.
16 . The self-optimization method according to claim 15 , wherein the result of the modification of the trigger rule comprises: success, failure, and information indicating that the created rule overlaps an existing rule.
17 . The self-optimization method according to claim 1 , further comprising:
deleting, by the managing unit, the self-optimization trigger rule.
18 . The self-optimization method according to claim 17 , wherein the deleting, by the managing unit, the self-optimization trigger rule comprises: deleting, by the managing unit, the trigger rule according to identifier information of the trigger rule.
19 . The self-optimization method according to claim 1 , wherein a process of the executing the self-optimization is controlled by the managing unit.
20 . The self-optimization method according to claim 19 , wherein the controlling, by the managing unit, the process of the executing the self-optimization comprises:
executing, by the managed unit, the self-optimization after confirmation performed by the managing unit according to information of the managed unit.
21 . The self-optimization method according to claim 19 , wherein the controlling, by the managing unit, the process of the executing the self-optimization comprises:
querying, by the managing unit, status information of the self-optimization process of the managed unit according to information of the managed unit; or querying, by the managing unit, status information of the self-optimization process of all managed units.
22 . The self-optimization method according to claim 21 , wherein the status information of the self-optimization process comprises an identifier of the self-optimization process and a corresponding execution status of the self-optimization process.
23 . The self-optimization method according to claim 22 , wherein the execution status of the self-optimization process comprises a wait-for-user-to-confirm status, a self-optimization-is-running status, and a self-optimization-is-evaluating-a-result status.
24 . The self-optimization method according to claim 19 , wherein the controlling, by the managing unit, the process of the executing the self-optimization comprises: terminating, by the managing unit, execution of the self-optimization process.
25 . The self-optimization method according to claim 24 , wherein the terminating, by the managing unit, the execution of the self-optimization process comprises;
terminating the self-optimization process of the managed unit according to information of the managed unit.
26 . A managed unit device, comprising:
a self-optimization execution module, configured to execute self-optimization according to a self-optimization trigger rule, wherein the self-optimization trigger rule is created by a managing unit according to a self-optimization capability supported by the managed unit.
27 . A self-optimization system, comprising:
a managed unit, configured to execute a self-optimization according to a self-optimization trigger rule, wherein the self-optimization trigger rule is created by a managing unit according to a self-optimization capability supported by the managed unit.
28 . The self-optimization system according to claim 27 , wherein the self-optimization capability comprises a self-optimization type, a supported self-optimization trigger condition, a supported self-optimization objective, and a supported self-optimization monitoring cycle.
29 . The self-optimization system according to claim 28 , wherein the managing unit is further configured to query information of the capability supported by the managed unit according to information of the managed unit.
30 . The self-optimization system according to claim 28 , wherein the managing unit is further configured to create the self-optimization trigger rule by using one of or any combination of identifier information of the trigger rule, information of the managed unit, a self-optimization type, a self-optimization monitoring cycle, a self-optimization objective, and a self-optimization trigger condition, and acquire a result of creation of the trigger rule.Join the waitlist — get patent alerts
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